Daksh Jain

I am passionate about exploring machine learning and advanced neural networks, with a proven track record of developing impactful projects. One of my key initiatives is an early detection system for brain tumors, which encompasses two distinct components:

Image-based Detection: Leveraging Convolutional Neural Networks (CNNs), I have developed a model that classifies brain tumor MRI scans into four categories with an accuracy exceeding 90%.
Attribute-based Detection: By analyzing physical attributes, I have built a classification system to distinguish between malignant and benign tumors.
The entire project is seamlessly integrated using Flask for the backend and React for the frontend, ensuring a smooth and efficient user experience.

In addition, I have created a poem-writing AI powered by Long Short-Term Memory (LSTM) networks within a Recurrent Neural Network (RNN) framework. This model generates creative and contextually relevant poems based on a user-provided starting word, showcasing the versatility of AI in the arts.

My expertise extends to Python automation, where I have developed various tools, including:

A certificate generator.
Chatbots enhanced with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Furthermore, I have executed several supervised learning projects, such as a hospital stay time predictor, demonstrating my ability to apply machine learning to solve practical problems.